Data Science Manager

• Data Scientist in Data Science CoE follow multiple approaches for project execution
• He/she is expected to drive a business problem right from interacting with business, data collection, building a concept application to demonstrate the advantages of the new methodology with explanations
• Upon successful demonstration he/she brings in original ideas, collaborate and work with team and 3rd parties for speed of delivery to solve and deploy the solution globally
• They also leverage the vast global network of Nissan Motors to collaborate with Nissan Digital - Data Engineering CoE, Software CoE, CI/CD team and other functions for creating and deploying solutions

Requirements:

- Overall years of experience: 8+ years of experience in Statistical and Machine learning models.

- Proficient in Python/R for machine learning.

- Proficient in Data Visualization in python / R or using BI Tools such as Tableau

- Proficient in Statistical modelling techniques and Machine Learning Algorithms

- Knowledge of AWS ecosystem (Lambda, Batch, Glue, RDS) would be a plus

- Proficiency in Optimization techniques with open source tools is a plus

- Should understand CI/CD processes in product deployment and used it in delivery. Should have understanding of Dockerization, REST APIs

- Working knowledge on following agile practices in product development is a plus

- Experience in various statistical and machine learning models, data mining, and unstructured data analytics in corporate or academic research environments

- Proven background in at least one of the following - Multivariate time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics

- Ability to translate domain problems to data science problem

- Ability to learn new technologies continuously and go to implementation

- Ability to think creatively to solve real world business problems

- Ability to work in a global collaborative team environment

- Proficient verbal and written communication skills in English

Preferred Skillsets

• Applied experience in Operations Research

• Statistical Modelling
• Optimization with OR Tools or equivalent
• PyTorch
• Deep Learning
• H2O.ai
• Tensor Flow 2.0
• scikit-learn
• Python
• R
• Julia
• Numba
• Cython
• Spark. Django